OM in the News: A.I. and Computer Programming Productivity

Since at least the industrial revolution, workers have worried that machines would replace them, writes The New York Times (June 8, 2025). But when technology transformed auto-making, meatpacking and even secretarial work, the response typically wasn’t to slash jobs and reduce the number of workers. It was to break them into simpler tasks to be performed over and over at a rapid clip. Small shops of skilled mechanics gave way to hundreds of workers spread across an assembly line. The personal secretary gave way to pools of typists and data-entry clerks.

Workers complained of speed-up, work intensification, and work degradation. Now this appears to be happening with A.I. in one of the fields where it has been most widely adopted: coding.

As A.I. spreads through the labor force, many white-collar workers have expressed concern that it would lead to mass unemployment. But the more immediate downside for software engineers appears to be a change in the quality of their work. It is becoming more routine, less thoughtful and, crucially, much faster pace.

Like assembly lines of old that we discuss in Chapter 1, A.I. can increase productivity. Microsoft found that programmers’ use of an A.I. coding assistant called Copilot, which proposes snippets of code that they can accept or reject, increased output more than 25%. Amazon’s CEO wrote that generative A.I. was yielding big returns for companies that use it for “productivity and cost avoidance.”
Shopify, a company that helps entrepreneurs build e-commerce websites, announced that “A.I. usage is now a baseline expectation” and that the company would “add A.I. usage questions” to performance reviews.

The shift has not been all negative for workers. At Amazon and other companies,  A.I. can relieve employees of tedious tasks and enable them to perform more interesting work. Amazon says it saved “the equivalent of 4,500 developer-years” by using A.I. to do the thankless work of upgrading old software. Many Amazon engineers use an A.I. assistant that suggests lines of code. But the company has more recently rolled out A.I. tools that can generate large portions of a program on its own. One engineer called the tools “scarily good.”

Classroom discussion questions:

  1. How can A.I. transform factory jobs?
  2. Professors’ jobs?

 

 

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